{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2a0d4b4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b0142d2e",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女800米跑分数</th>\n",
       "      <th>女50米跑</th>\n",
       "      <th>女50米跑分数</th>\n",
       "      <th>女跳远</th>\n",
       "      <th>女跳远分数</th>\n",
       "      <th>女体前屈</th>\n",
       "      <th>女体前屈分数</th>\n",
       "      <th>女仰卧</th>\n",
       "      <th>女仰卧分数</th>\n",
       "      <th>女肺活量</th>\n",
       "      <th>女肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
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       "      <td>3.22</td>\n",
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       "      <td>9.32</td>\n",
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       "      <td>女</td>\n",
       "      <td>4.59</td>\n",
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       "      <td>女</td>\n",
       "      <td>3.39</td>\n",
       "      <td>85</td>\n",
       "      <td>9.52</td>\n",
       "      <td>70</td>\n",
       "      <td>172</td>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>90</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>3701</td>\n",
       "      <td>100</td>\n",
       "      <td>160.0</td>\n",
       "      <td>50.700001</td>\n",
       "      <td>19.799999</td>\n",
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       "      <th>4</th>\n",
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       "      <td>8</td>\n",
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       "      <td>68</td>\n",
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       "      <td>9.67</td>\n",
       "      <td>68</td>\n",
       "      <td>165</td>\n",
       "      <td>70</td>\n",
       "      <td>10</td>\n",
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       "<p>593 rows × 17 columns</p>\n",
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      ],
      "text/plain": [
       "     班级 性别  女800米跑  女800米跑分数  女50米跑  女50米跑分数  女跳远  女跳远分数  女体前屈  女体前屈分数  女仰卧  \\\n",
       "0     1  女    3.22       100   9.32       72  185     85    16      76   48   \n",
       "1     1  女    4.59        40  11.44       10  148     60     9      66   29   \n",
       "2     1  女    3.46        80  13.40        0  150     60     7      64   40   \n",
       "3     1  女    3.39        85   9.52       70  172     76    21      90   46   \n",
       "4     1  女    3.43        80   9.79       68  145     50     8      64   34   \n",
       "..   .. ..     ...       ...    ...      ...  ...    ...   ...     ...  ...   \n",
       "588  17  女    3.51        78   9.60       68  150     60    24      95   41   \n",
       "589  17  女    4.00        76  10.18       64  150     60    13      72   36   \n",
       "590  17  女    3.45        80  10.18       64  152     62    15      76   35   \n",
       "591  17  女    4.01        74   9.67       68  165     70    10      68   41   \n",
       "592  17  女    4.48        50   9.09       74  180     80    10      68   46   \n",
       "\n",
       "     女仰卧分数  女肺活量  女肺活量分数     身高         体重        BMI  \n",
       "0       85  3775     100  163.0  51.299999  19.309999  \n",
       "1       66  3683     100  163.0  66.599998  25.070000  \n",
       "2       76  3331     100  157.0  60.000000  24.340000  \n",
       "3       85  3701     100  160.0  50.700001  19.799999  \n",
       "4       70  3592     100  167.0  63.900002  22.910000  \n",
       "..     ...   ...     ...    ...        ...        ...  \n",
       "588     78  2255      70  158.0  49.000000  19.629999  \n",
       "589     72  2937      85  161.0  55.700001  21.490000  \n",
       "590     72  2592      76  165.0  48.599998  17.850000  \n",
       "591     78  1829      60  154.0  43.599998  18.379999  \n",
       "592     85  2962      85  162.0  55.299999  21.070000  \n",
       "\n",
       "[593 rows x 17 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ms = pd.read_excel('./体测分数_男生.xls')\n",
    "df_fs = pd.read_excel('./体测分数_女生.xls')\n",
    "df_ms\n",
    "df_fs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "da2f63f7",
   "metadata": {},
   "outputs": [
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       "      <td>21.490000</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4</td>\n",
       "      <td>4.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.45</td>\n",
       "      <td>80</td>\n",
       "      <td>10.18</td>\n",
       "      <td>64</td>\n",
       "      <td>152</td>\n",
       "      <td>62</td>\n",
       "      <td>15</td>\n",
       "      <td>76</td>\n",
       "      <td>35</td>\n",
       "      <td>72</td>\n",
       "      <td>2592</td>\n",
       "      <td>76</td>\n",
       "      <td>165.0</td>\n",
       "      <td>48.599998</td>\n",
       "      <td>17.850000</td>\n",
       "      <td>3.45</td>\n",
       "      <td>4</td>\n",
       "      <td>3.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.01</td>\n",
       "      <td>74</td>\n",
       "      <td>9.67</td>\n",
       "      <td>68</td>\n",
       "      <td>165</td>\n",
       "      <td>70</td>\n",
       "      <td>10</td>\n",
       "      <td>68</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>1829</td>\n",
       "      <td>60</td>\n",
       "      <td>154.0</td>\n",
       "      <td>43.599998</td>\n",
       "      <td>18.379999</td>\n",
       "      <td>4.01</td>\n",
       "      <td>3</td>\n",
       "      <td>4.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.48</td>\n",
       "      <td>50</td>\n",
       "      <td>9.09</td>\n",
       "      <td>74</td>\n",
       "      <td>180</td>\n",
       "      <td>80</td>\n",
       "      <td>10</td>\n",
       "      <td>68</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>2962</td>\n",
       "      <td>85</td>\n",
       "      <td>162.0</td>\n",
       "      <td>55.299999</td>\n",
       "      <td>21.070000</td>\n",
       "      <td>4.48</td>\n",
       "      <td>2</td>\n",
       "      <td>4.48</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>593 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  女800米跑  女800米跑分数  女50米跑  女50米跑分数  女跳远  女跳远分数  女体前屈  女体前屈分数  女仰卧  \\\n",
       "0     1  女    3.22       100   9.32       72  185     85    16      76   48   \n",
       "1     1  女    4.59        40  11.44       10  148     60     9      66   29   \n",
       "2     1  女    3.46        80  13.40        0  150     60     7      64   40   \n",
       "3     1  女    3.39        85   9.52       70  172     76    21      90   46   \n",
       "4     1  女    3.43        80   9.79       68  145     50     8      64   34   \n",
       "..   .. ..     ...       ...    ...      ...  ...    ...   ...     ...  ...   \n",
       "588  17  女    3.51        78   9.60       68  150     60    24      95   41   \n",
       "589  17  女    4.00        76  10.18       64  150     60    13      72   36   \n",
       "590  17  女    3.45        80  10.18       64  152     62    15      76   35   \n",
       "591  17  女    4.01        74   9.67       68  165     70    10      68   41   \n",
       "592  17  女    4.48        50   9.09       74  180     80    10      68   46   \n",
       "\n",
       "     女仰卧分数  女肺活量  女肺活量分数     身高         体重        BMI  800米成绩 level  女800米成绩  \n",
       "0       85  3775     100  163.0  51.299999  19.309999    3.22     4     3.22  \n",
       "1       66  3683     100  163.0  66.599998  25.070000    4.59     2     4.59  \n",
       "2       76  3331     100  157.0  60.000000  24.340000    3.46     4     3.46  \n",
       "3       85  3701     100  160.0  50.700001  19.799999    3.39     4     3.39  \n",
       "4       70  3592     100  167.0  63.900002  22.910000    3.43     4     3.43  \n",
       "..     ...   ...     ...    ...        ...        ...     ...   ...      ...  \n",
       "588     78  2255      70  158.0  49.000000  19.629999    3.51     4     3.51  \n",
       "589     72  2937      85  161.0  55.700001  21.490000    4.00     4     4.00  \n",
       "590     72  2592      76  165.0  48.599998  17.850000    3.45     4     3.45  \n",
       "591     78  1829      60  154.0  43.599998  18.379999    4.01     3     4.01  \n",
       "592     85  2962      85  162.0  55.299999  21.070000    4.48     2     4.48  \n",
       "\n",
       "[593 rows x 20 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def convert (x):\n",
    "    if x >100:\n",
    "        return 0\n",
    "    else:\n",
    "        return x\n",
    "\n",
    "df_fs['女800米成绩'] = df_fs['女800米跑'].map(convert)\n",
    "df_fs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3d6a5ca",
   "metadata": {},
   "source": [
    "对男1000米跑、男引体进行等宽分箱操作，分成3份，并使用饼图绘制百分比"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "014eed35",
   "metadata": {},
   "source": [
    "### 男1000米跑"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a40fad19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '     男子1000米成绩段分布     ')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams ['font.family'] = 'KaiTi'\n",
    "plt.rcParams ['font.size'] = 15\n",
    "\n",
    "\n",
    "slevel = pd.cut(df_ms.男1000米跑分数, bins = 3, \n",
    "       labels = ['1','2','3'],\n",
    "       right = True)\n",
    "df_ms['level'] = df_ms.index.map(slevel)\n",
    "#for name, group in df_ms['男1000米跑'].groupby (df_ms['1000米分数段']):\n",
    "#print (name,group)\n",
    "#df_ms.男1000米跑[df_ms.level == '1']\n",
    "data_pie = df_ms.level\n",
    "data_pie = data_pie.value_counts()\n",
    "data_pie\n",
    "\n",
    "plt.figure(figsize= (9,9))\n",
    "_ = plt.pie (data_pie,labels = ['Good','Pass','Fail'], textprops= {'fontsize':23},\n",
    "             autopct = '%0.2f%%')\n",
    "\n",
    "plt.title (label = '     男子1000米成绩段分布     ',\n",
    "           fontsize = 32, backgroundcolor = '#c5b783', weight = 'bold',\n",
    "           pad = 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49563101",
   "metadata": {},
   "source": [
    "### 男引体"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "544243f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '     男子引体成绩段分布     ')"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "slevel = pd.cut(df_ms.男引体分数, bins = 3, \n",
    "       labels = ['1','2','3'],\n",
    "       right = True)\n",
    "df_ms['level'] = df_ms.index.map(slevel)\n",
    "data_pie = df_ms.level\n",
    "data_pie = data_pie.value_counts()\n",
    "data_pie\n",
    "plt.figure(figsize= (9,9))\n",
    "_ = plt.pie (data_pie,labels = ['Good','Pass','Fail'], textprops= {'fontsize':23},\n",
    "             autopct = '%0.2f%%')\n",
    "\n",
    "plt.title (label = '     男子引体成绩段分布     ',\n",
    "           fontsize = 32, backgroundcolor = '#c5b783', weight = 'bold',\n",
    "           pad = 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e884740e",
   "metadata": {},
   "source": [
    "对女800米跑、女跳远进行直方图绘制统计各分数段人数，分成4份"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15d72557",
   "metadata": {},
   "source": [
    "### 女 800米"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3cb057d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '   女800米优   ')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "slevel = pd.cut(df_fs.女800米跑分数, bins = 4, \n",
    "       labels = ['1','2','3','4'],\n",
    "       right = True)\n",
    "df_fs['level'] = df_fs.index.map(slevel)\n",
    "\n",
    "plt.figure(figsize= (12,6))\n",
    "df_fs.女800米跑[df_fs.level == '1']\n",
    "plt.subplot(1,4,1)\n",
    "\n",
    "plt.hist(df_fs.女800米成绩[df_fs.level == '1'],\n",
    "         color = 'red')\n",
    "plt.title (label = '   女800米差   ',\n",
    "           fontsize = 16, backgroundcolor = '#c5b783', weight = 'bold',\n",
    "           pad = 10)\n",
    "\n",
    "plt.subplot(1,4,2)\n",
    "plt.hist(df_fs.女800米成绩[df_fs.level == '2'],\n",
    "         color = 'red')\n",
    "plt.title (label = '   女800米及格   ',\n",
    "           fontsize = 16, backgroundcolor = '#c5b783', weight = 'bold',\n",
    "           pad = 10)\n",
    "\n",
    "plt.subplot(1,4,3)\n",
    "plt.hist(df_fs.女800米成绩[df_fs.level == '3'],\n",
    "         color = 'red')\n",
    "plt.title (label = '   女800米良   ',\n",
    "           fontsize = 16, backgroundcolor = '#c5b783', weight = 'bold',\n",
    "           pad = 10)\n",
    "\n",
    "plt.subplot(1,4,4)\n",
    "plt.hist(df_fs.女800米成绩[df_fs.level == '4'],\n",
    "         color = 'red')\n",
    "plt.title (label = '   女800米优   ',\n",
    "           fontsize = 16, backgroundcolor = '#c5b783', weight = 'bold',\n",
    "           pad = 10)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8cb7e0d6",
   "metadata": {},
   "source": [
    "### 女跳远"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0bb12a89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '   女跳远优   ')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "slevel = pd.cut(df_fs.女跳远分数, bins = 4, \n",
    "       labels = ['1','2','3','4'],\n",
    "       right = True)\n",
    "df_fs['level'] = df_fs.index.map(slevel)\n",
    "\n",
    "plt.figure(figsize= (12,6))\n",
    "df_fs.女跳远[df_fs.level == '1']\n",
    "plt.subplot(1,4,1)\n",
    "\n",
    "plt.hist(df_fs.女跳远[df_fs.level == '1'],\n",
    "         color = 'red')\n",
    "plt.title (label = '   女跳远差   ',\n",
    "           fontsize = 16, backgroundcolor = '#c5b783', weight = 'bold',\n",
    "           pad = 10)\n",
    "\n",
    "plt.subplot(1,4,2)\n",
    "plt.hist(df_fs.女跳远[df_fs.level == '2'],\n",
    "         color = 'red')\n",
    "plt.title (label = '   女跳远及格   ',\n",
    "           fontsize = 16, backgroundcolor = '#c5b783', weight = 'bold',\n",
    "           pad = 10)\n",
    "\n",
    "plt.subplot(1,4,3)\n",
    "plt.hist(df_fs.女跳远[df_fs.level == '3'],\n",
    "         color = 'red')\n",
    "plt.title (label = '   女跳远良   ',\n",
    "           fontsize = 16, backgroundcolor = '#c5b783', weight = 'bold',\n",
    "           pad = 10)\n",
    "\n",
    "plt.subplot(1,4,4)\n",
    "plt.hist(df_fs.女跳远[df_fs.level == '4'],\n",
    "         color = 'red')\n",
    "plt.title (label = '   女跳远优   ',\n",
    "           fontsize = 16, backgroundcolor = '#c5b783', weight = 'bold',\n",
    "           pad = 10)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6010f82c",
   "metadata": {},
   "source": [
    "使用嵌套饼图对比男女生体重指数进行比例统计，分为正常、低体重、超重、肥胖(男女生体重指数参考如下)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61ebf0b6",
   "metadata": {},
   "source": [
    "###  BMI 统计"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "cfe412e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.3, 1, '外圈为男生数据，内圈为女生数据')"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def MBMIS(x):\n",
    "    if x >16.5 and x <= 23.2:\n",
    "        return 1\n",
    "    elif x <= 16.4:\n",
    "        return 2\n",
    "    elif x >23.3 and x <= 26.3:\n",
    "        return 3\n",
    "    else: \n",
    "        return 4\n",
    "    \n",
    "df_ms['BMIS'] = df_ms['BMI'].map(MBMIS)\n",
    "df_ms['BMIS'].value_counts()\n",
    "p1 = df_ms['BMIS'].value_counts()\n",
    "\n",
    "plt.figure(figsize= (9,9))\n",
    "_ = plt.pie(p1, radius=1, autopct='%0.2f%%',\n",
    "         pctdistance = 0.85,\n",
    "        labels = p1.index.map({1:'男正常',2:'男低体重',3:'男超重',4:'男肥胖'}),\n",
    "         wedgeprops= {'linewidth':5,#间隔的宽度\n",
    "                      'width':0.3,#饼图的宽度\n",
    "                      'edgecolor': 'white'},# 间隔的颜色)\n",
    "         textprops = {'family': 'Kaiti','fontsize':20})\n",
    "\n",
    "def FBMIS(x):\n",
    "    if x >16.5 and x <= 22.7:\n",
    "        return 1\n",
    "    elif x <= 16.4:\n",
    "        return 2\n",
    "    elif x >22.8 and x <= 25.2:\n",
    "        return 3\n",
    "    else: \n",
    "        return 4\n",
    "\n",
    "df_fs['BMIS'] = df_fs['BMI'].map(FBMIS)\n",
    "df_fs['BMIS'].value_counts()\n",
    "p2 = df_fs['BMIS'].value_counts()\n",
    "\n",
    "a = plt.pie(p2, radius=0.7, autopct='%0.2f%%',\n",
    "         pctdistance = 0.5,\n",
    "         labels = p2.index.map({1:'正常',2:'低体重',3:'超重',4:'肥胖'}),\n",
    "         labeldistance= 0.7,\n",
    "         wedgeprops= {'linewidth':5,#间隔的宽度\n",
    "                      'width':0.7,#饼图的宽度\n",
    "                      'edgecolor': 'white'},# 间隔的颜色)\n",
    "         textprops = {'family': 'Kaiti','fontsize':18})\n",
    "\n",
    "plt.text (x = 0.3, y = 1 , s = '外圈为男生数据，内圈为女生数据', fontsize = 18 , color = 'red')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0d5aa0cd",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.1"
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   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
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